Loading...

Scale invariant feature transform using oriented pattern

Daneshvar, M. B ; Sharif University of Technology

538 Viewed
  1. Type of Document: Article
  2. DOI: 10.1109/CCECE.2014.6900952
  3. Abstract:
  4. Image matching plays an important role in many aspects of computer vision. Our proposed method is based on Scale Invariant Feature Transform (SIFT) which is one of the popular image matching methods. The main ideas behind our method are removing the excess keypoints, adding oriented patterns to descriptor, and decreasing the size of the descriptors. By doing these changes to SIFT, we would have oriented patterns of keypoints. In addition, the numbers of keypoints have been reduced and the places of keypoints would be selected more accurately, and also the size of the descriptors has been reduced
  5. Keywords:
  6. Descriptor ; Keypoint ; Feature extraction ; Image matching ; Descriptors ; Keypoints ; Matching methods ; Oriented pattern ; Scale invariant feature transforms ; Computer vision
  7. Source: Canadian Conference on Electrical and Computer Engineering ; 2014
  8. URL: http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6900952